Daniel Chudnov

405 total citations
20 papers, 248 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 248 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 Peer-to-Peer Network Technologies (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 Peer-to-Peer Network Technologies (2 papers). Daniel Chudnov collaborates with scholars based in United States. Daniel Chudnov's co-authors include Matthew Wilcox, Peter Rabinowitz, Margret Branschofsky, Robert Tansley, MacKenzie Smith, Ann G. Liu, Prakash M. Nadkarni, F. Joshua Dein, 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 221 citations

Peers

Daniel Chudnov
Comparison fields: 5 of 85
  • Information Systems 74
  • Public Health, Environmental and Occupational Health 46
  • Artificial Intelligence 40
  • Computer Networks and Communications 35
  • Agronomy and Crop Science 35
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Citations per field, relative to Daniel Chudnov
Daniel Chudnov · 1×
Citations per year, relative to Daniel Chudnov
Daniel Chudnov · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 8
2 6
3 26
4
Technical Challenges in Developing Software to Collect Twitter Data
1
5 1
6
The Emperor's New Repository
1
7 1
8 43
9
Opening Up OpenURLs with Autodiscovery
8
10 48
11 7
12
Towards Library Groupware With Personalised Link Routing
2
13 18
14 55
15 4
16 4
17 1
18
Docster: The Future of Document Delivery?.
4
19 6
20 4

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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