Daniel Chudnov

40 total papers · 405 total citations
20 papers, 247 citations indexed

About

Daniel Chudnov is a scholar working on Information Systems, Computer Networks and Communications and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Chudnov has authored 20 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 3 papers in Computer Networks and Communications and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Chudnov's work include Research Data Management Practices (4 papers), Web Data Mining and Analysis (3 papers) and Digital and Traditional Archives Management (2 papers). Daniel Chudnov is often cited by papers focused on Research Data Management Practices (4 papers), Web Data Mining and Analysis (3 papers) and Digital and Traditional Archives Management (2 papers). Daniel Chudnov collaborates with scholars based in United States. Daniel Chudnov's co-authors include Matthew Wilcox, Margret Branschofsky, Peter Rabinowitz, MacKenzie Smith, Robert Tansley, Ann G. Liu, F. Joshua Dein, Prakash M. Nadkarni, Michael J. Bass and Justin Littman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and EcoHealth.

In The Last Decade

Daniel Chudnov

19 papers receiving 219 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Chudnov 73 46 40 35 35 20 247
Miguel Revilla 49 0.7× 20 0.4× 24 0.6× 10 0.3× 63 1.8× 18 291
Richard Salter 33 0.5× 37 0.8× 25 0.6× 16 0.5× 4 0.1× 37 277
Laila Almutairi 25 0.3× 31 0.7× 98 2.5× 87 2.5× 3 0.1× 14 298
И. О. Попов 24 0.3× 8 0.2× 47 1.2× 32 0.9× 5 0.1× 33 225
Johannes Kunkel 73 1.0× 5 0.1× 97 2.4× 6 0.2× 63 1.8× 14 311
Abdullah Alenezi 60 0.8× 64 1.4× 21 0.5× 2 0.1× 8 0.2× 32 304
J. M. Perez 71 1.0× 8 0.2× 58 1.4× 32 0.9× 3 0.1× 22 307
Fabian Chiong 17 0.2× 10 0.2× 108 2.7× 7 0.2× 33 0.9× 22 326
Victoria Domínguez Del Angel 87 1.2× 12 0.3× 20 0.5× 14 0.4× 2 0.1× 9 261
Jose Andre Morales 118 1.6× 8 0.2× 44 1.1× 125 3.6× 11 0.3× 31 305

Countries citing papers authored by Daniel Chudnov

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chudnov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Chudnov

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Chudnov. A scholar is included among the top collaborators of Daniel Chudnov 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 Daniel Chudnov. Daniel Chudnov 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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