Tamas Jambor

10 total papers · 458 total citations
4 papers, 295 citations indexed

About

Tamas Jambor is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Tamas Jambor has authored 4 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Tamas Jambor's work include Recommender Systems and Techniques (3 papers), Video Analysis and Summarization (1 paper) and Information Retrieval and Search Behavior (1 paper). Tamas Jambor is often cited by papers focused on Recommender Systems and Techniques (3 papers), Video Analysis and Summarization (1 paper) and Information Retrieval and Search Behavior (1 paper). Tamas Jambor collaborates with scholars based in United Kingdom. Tamas Jambor's co-authors include Diarmuid Ó Séaghdha, Daniele Quercia, Jun Wang and Neal Lathia and has published in prestigious journals such as Electronic workshops in computing.

In The Last Decade

Tamas Jambor

4 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamas Jambor 228 95 87 75 56 4 295
Iman Kamehkhosh 207 0.9× 93 1.0× 95 1.1× 91 1.2× 95 1.7× 9 292
Yoon Ho Cho 241 1.1× 47 0.5× 75 0.9× 69 0.9× 42 0.8× 5 304
Miguel A. Rueda-Morales 243 1.1× 36 0.4× 89 1.0× 97 1.3× 34 0.6× 7 280
Cosimo Palmisano 240 1.1× 45 0.5× 77 0.9× 92 1.2× 62 1.1× 5 283
Young Ok Kwon 165 0.7× 71 0.7× 117 1.3× 32 0.4× 21 0.4× 9 305
Inma Garcia 208 0.9× 36 0.4× 78 0.9× 41 0.5× 32 0.6× 7 306
Xiang Wang 247 1.1× 96 1.0× 200 2.3× 59 0.8× 13 0.2× 4 344
Gawesh Jawaheer 191 0.8× 45 0.5× 91 1.0× 77 1.0× 24 0.4× 13 296
Meng Wang 239 1.0× 95 1.0× 184 2.1× 58 0.8× 12 0.2× 3 325
Jorge Castro 211 0.9× 67 0.7× 104 1.2× 54 0.7× 18 0.3× 11 275

Countries citing papers authored by Tamas Jambor

Since Specialization
Citations

This map shows the geographic impact of Tamas Jambor'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 Tamas Jambor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamas Jambor more than expected).

Fields of papers citing papers by Tamas Jambor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamas Jambor. 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 Tamas Jambor. The network helps show where Tamas Jambor may publish in the future.

Co-authorship network of co-authors of Tamas Jambor

This figure shows the co-authorship network connecting the top 25 collaborators of Tamas Jambor. A scholar is included among the top collaborators of Tamas Jambor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamas Jambor. Tamas Jambor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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