Guy Feigenblat

571 citations
27 papers · 401 · h-index 12

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Algorithms and Data Compression
    • Web Data Mining and Analysis

Papers in

    • Topic Modeling 9
    • Machine Learning and Algorithms 6
    • Natural Language Processing Techniques 6
    • Algorithms and Data Compression 4
    • Sentiment Analysis and Opinion Mining 4
    • Advanced Text Analysis Techniques 3
    • Information Retrieval and Search Behavior 3

Guy Feigenblat

27 papers receiving 361 citations

Peers

Guy Feigenblat
Comparison fields: 5 of 80
  • Artificial Intelligence 223
  • Information Systems 66
  • Signal Processing 30
  • Marketing 23
  • Management Science and Operations Research 30
Replace Jiajie Su with:
Jiajie Su China
Rabia Batool Pakistan
Naima Iltaf Pakistan
David Lillis Ireland
Christoph Müller Germany
Shaohong Fu China
Jayakrushna Sahoo India
Junming Yin United States
Guy Feigenblat relative to Jiajie Su China Jiajie Su's profile →
Citations per field
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Jiajie Su · 1×
Citations per year

Countries citing papers authored by Guy Feigenblat

Since Specialization
Citations

This map shows the geographic impact of Guy Feigenblat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guy Feigenblat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Feigenblat more than expected).

Fields of papers citing papers by Guy Feigenblat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Feigenblat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guy Feigenblat. The network helps show where Guy Feigenblat may publish in the future.

Co-authors

The 25 scholars most cited alongside Guy Feigenblat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Feigenblat Line = papers co-authored together Guy Feigenblat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200295
2 201451
3 201739
4 201628
5 202026
6 201620
7 201918
8 202017
9 202015
10 202114
11 202113
12 202011
13 202010
14 20119
15 20116
16 20114
17 20144
18 20163
19 20163
20 20153

About Guy Feigenblat

Guy Feigenblat is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computational Theory and Mathematics and Molecular Biology, having authored 27 papers that have together received 401 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Machine Learning and Algorithms (6 papers), Natural Language Processing Techniques (6 papers), Algorithms and Data Compression (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Information Retrieval and Search Behavior (3 papers), Data Quality and Management (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (223 citations), Information Systems (66 citations), Signal Processing (30 citations), Marketing (23 citations) and Management Science and Operations Research (30 citations). Guy Feigenblat has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Haggai Roitman, David Konopnicki, Meir Wilchek, Aharon Rabinkov, David Mirelman, Talia Miron, Irina Shin, Lev Weiner, Michal Shmueli-Scheuer and Ely Porat. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Analytical Biochemistry, IBM Journal of Research and Development and Journal of Computer and System Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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