Daniel Chudnov

405 citations
20 papers · 248 · h-index 8

Impact in

Papers in

Daniel Chudnov

19 papers receiving 221 citations

Peers

Daniel Chudnov
Comparison fields: 5 of 85
  • Conservation 17
  • Information Systems and Management 29
  • Computer Science Applications 19
  • Agronomy and Crop Science 35
  • Information Systems 74
Replace Asanee Kawtrakul with:
Asanee Kawtrakul Thailand
Johannes Kunkel Germany
Jessica Enright United Kingdom
Richard Salter United States
Abdullah Alenezi Saudi Arabia
Cristina Sarasua Switzerland
Dhananjai M. Rao United States
Todd Bodnar United States
Mingfang Wu Australia
T. Doherty United Kingdom
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Citations per field
00.5×3.6×
Asanee Kawtrakul · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Chudnov, 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 Daniel Chudnov Line = papers co-authored together Daniel Chudnov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200355
2 200548
3 200643
4 201626
5 200418
6
Opening Up OpenURLs with Autodiscovery
20058
7 20228
8 20057
9 20216
10 20006
11
Docster: The Future of Document Delivery?.
20004
12 20004
13 20024
14 20014
15
Towards Library Groupware With Personalised Link Routing
20042
16
Technical Challenges in Developing Software to Collect Twitter Data
20141
17
The Emperor's New Repository
20081
18 20091
19 20081
20 20011

About Daniel Chudnov

Daniel Chudnov is a scholar working on Information Systems, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Organic Chemistry and Conservation, having authored 20 papers that have together received 248 indexed citations. Recurring topics across this work include Research Data Management Practices (4 papers), Web Data Mining and Analysis (3 papers), Digital and Traditional Archives Management (2 papers), Peer-to-Peer Network Technologies (2 papers), Library Collection Development and Digital Resources (2 papers), Zoonotic diseases and public health (2 papers), Chemistry and Stereochemistry Studies (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Conservation (17 citations), Information Systems and Management (29 citations), Computer Science Applications (19 citations), Agronomy and Crop Science (35 citations) and Information Systems (74 citations). Daniel Chudnov has collaborated with scholars based in United States. Frequent co-authors include Matthew Wilcox, Margret Branschofsky, Peter Rabinowitz, MacKenzie Smith, Robert Tansley, Ann G. Liu, Prakash M. Nadkarni, F. Joshua Dein, Justin Littman and Michael J. Bass. Their work appears in journals such as Serials Review, Computers in libraries, The Serials Librarian, Library Hi Tech and Emerging infectious diseases.

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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