VOSviewer Mastery: I need to learn how to effectively use VOSviewer for bibliometric network analysis and visualization.

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@SomeeLee25

Hello, I have experience in data analysis, visualization, and academic research workflows. While my direct use of VOSviewer has been limited, I have extensive background in bibliometric-style analysis using structured datasets, and I can quickly adapt to VOSviewer’s environment to provide clear, step-by-step guidance. I can cover: • Importing and preparing data from Scopus/Web of Science • Building co-authorship, citation, and keyword co-occurrence maps • Interpreting clusters, metrics, and customizing visualizations for publication • Advanced literature search strategies in materials science (Boolean queries, trend tracking) • Practical use of AI tools (Elicit, Scite, ChatGPT) for summarization and workflow acceleration Deliverables: • Structured tutorial sessions (Zoom) with practical exercises • Documentation and notes for future reference • Recommended resources and best practices Timeline: First session within 1 week, full tutorial series within 2–3 weeks Looking forward to working on your project. Best regards, Somee

@revival786

Greetings! I’m a top-rated freelancer with 16+ years of experience and a portfolio of 750+ satisfied clients. I specialize in delivering high-quality, professional bibliometric network analysis and visualization based VOSviewer usage services tailored to your unique needs. Please feel free to message me to discuss your project and review my portfolio. I’d love to help bring your ideas to life! Looking forward to collaborating with you! Best regards, Revival

@adily1

Hey , I just finished reading the job description and I see you are looking for someone experienced in Data Science, AI (Artificial Intelligence) HW/SW, Data Visualization and Data Analysis. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am - 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Adil.

@panroman50

Hi Jie, ⭐️⭐️⭐️I'll do my best.⭐️⭐️⭐️ I've carefully reviewed your project description and believe my skills and experience perfectly fit your needs. I have 10+ years of experience on Data Science, Data Visualization, AI (Artificial Intelligence) HW/SW, Data Analysis and am highly skilled in delivering high-quality results. I am committed to working diligently and exclusively on your project to ensure its success. Please contact us via chat for a more detailed consultation. Thank You Roman

@charondaj

With my extensive proficiency in data analysis and visualization, I fully understand the unique worth of VOSviewer as a bibliometric network analysis and visualization tool. I have hands-on expertise in importing and preparing data from a variety of databases, including Scopus, Web of Science, and PubMed - ensuring you get optimal results with minimum hassle. Moreover, I specialize in identifying valuable literature on research topics, tracking trends, and extracting relevant material properties data - invaluable skills for the effective use of key databases like the aforementioned. My familiarity with AI tools such as Elicit, Consensus, and Scite will be highly advantageous to you. Leveraging AI-driven research assistants is rapidly becoming the key to accelerating academic workflows and I've successfully incorporated these assistants for literature summarization and insight extraction in my own research. My knowledge in using AI for data analysis also complements your project objective. In addition to these technical proficiencies, my customers have always appreciated my teaching methodology. Drawing from this experience, I'll provide a structured tutorial or series of short video sessions using relevant examples from materials science. Rest assured that my end-deliverables would be comprehensive, well-documented notes summarizing key instructions plus a list of recommended resources and tips for future reference. Choose me and let's embark on an illuminating learning journey together!

@cemguv

Seeing VOSviewer used well (and poorly) in materials papers is exactly why this kind of guidance matters. You’re aiming to master bibliometric mapping, sharpen materials-science literature searches, and realistically use AI to speed up research—not replace thinking. I’ve worked with VOSviewer and CiteSpace for co-authorship, citation, and keyword analysis, and I regularly train researchers on Scopus/WoS query design and trend tracking. I also use tools like Elicit and Consensus for structured review support. I’d teach this step-by-step with real materials datasets, short demos, and clear notes. Would you prefer live Zoom sessions or a mixed live + recorded format?

@ganiyur

I can help you build these skills systematically. My research background is in materials science, and I’ve trained several researchers in VOSviewer and AI-assisted workflows. I suggest we structure this into three focused sessions: one on VOSviewer (from data import to interpretation), one on advanced search strategies in Scopus/Materials Project, and one on applying AI tools like Elicit and Claude for literature analysis. Each session would include hands-on exercises using materials science examples. To make the training as relevant as possible, do you have a specific sub-field or material class (e.g., perovskites, biomaterials, alloys) you’d prefer to use for our practical examples? I provide clear notes and resource lists. I’m available to schedule sessions starting this week.

@RickJMc83

Hi there, I’m RICHARD, a researcher-educator with hands-on experience in VOSviewer, bibliometric analysis, and AI-assisted research workflows. I’ll deliver a practical, step‑by‑step tutorial series tailored to materials science, covering: data importing from Scopus, Web of Science, PubMed, and Materials Project; building co-authorship, citation, and keyword co‑occurrence maps; interpreting clusters and network metrics; and exporting publication-ready visuals. I’ll also train you in efficient literature‑search strategies across Scopus, WoS, PubMed, and Materials Project, with advanced query building, tracking seminal papers, and data extraction. And I’ll show how to leverage AI tools for summarization, insight extraction, and workflow automation, including examples with popular AI assistants and AI‑based data analysis. Deliverables: a structured tutorial or a series of short Zoom sessions; practical exercises using real materials science examples; a resource list with best practices; clear notes you can reuse. Timeline: 5–7 days, with 8–12 hours of content. Price: $180. Would you prefer a deeper dive into Scopus/Web of Science data pipelines with hands-on maps, or a broader data-import workflow including PubMed and Materials Project to cover your use cases? Best regards, RICHARD

@SHAHIDULLAHMC

Hi there, I’d be glad to guide you through VOSviewer, advanced materials‑science search strategies, and AI‑powered research workflows. With my background in data science, data visualization, and academic research tools, I focus on making complex methods simple and practical. I’ll walk you step‑by‑step through importing Scopus/Web of Science data, building co‑authorship, citation, and keyword maps, and interpreting clusters and metrics with confidence. We’ll also cover smart literature‑search techniques for materials science, from Boolean logic to identifying seminal papers and property datasets. I’ll show you how to use modern AI tools for summarization, insight extraction, and research acceleration. You’ll receive clear documentation, hands‑on exercises, and a structured tutorial you can reuse anytime. Looking forward to helping you build a stronger, faster research workflow. Best regards, Mohammad