Peter T. Darch

32 papers receiving 270 citations

Peers

Peter T. Darch
Comparison fields: 5 of 69
  • Information Systems and Management 177
  • Information Systems 208
  • Management Science and Operations Research 91
  • Conservation 11
  • Geography, Planning and Development 17
Replace Milena S. Golshan with:
Milena S. Golshan United States
João Rocha da Silva Portugal
Barbara Sierman Netherlands
Peter Doorn Netherlands
Heinz Pampel Germany
Ingrid Dillo Netherlands
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Paul Ayris United Kingdom
Milena Dobreva United Kingdom
Sanna Kumpulainen Finland
Peter T. Darch relative to Milena S. Golshan United States Milena S. Golshan's profile →
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Citations per year

Countries citing papers authored by Peter T. Darch

Since Specialization
Citations

This map shows the geographic impact of Peter T. Darch'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 Peter T. Darch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Darch more than expected).

Fields of papers citing papers by Peter T. Darch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Darch. 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 Peter T. Darch. The network helps show where Peter T. Darch may publish in the future.

Co-authors

The 18 scholars most cited alongside Peter T. Darch, 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 Peter T. Darch Line = papers co-authored together Peter T. Darch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201541
2 201637
3 201520
4 201619
5 202018
6 201016
7 201416
8 201615
9 200914
10 202012
11 20169
12 20218
13
Beyond Big or Little Science: Understanding Data Lifecycles in Astronomy and the Deep Subseafloor Biosphere
20158
14
Our knowledge of knowledge infrastructures: Lessons learned and future directions
20207
15 20207
16 20177
17 20146
18 20174
19 20203
20 20143

About Peter T. Darch

Peter T. Darch is a scholar working on Information Systems and Management, Information Systems, Management Science and Operations Research, Communication and Management Information Systems, having authored 35 papers that have together received 298 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (25 papers), Research Data Management Practices (23 papers), Data Quality and Management (12 papers), Geographic Information Systems Studies (4 papers), Knowledge Management and Sharing (3 papers), Species Distribution and Climate Change (3 papers), Team Dynamics and Performance (3 papers) and Ethics in Clinical Research (3 papers). The work is most often cited by research in Information Systems and Management (177 citations), Information Systems (208 citations), Management Science and Operations Research (91 citations), Conservation (11 citations) and Geography, Planning and Development (17 citations). Peter T. Darch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Christine L. Borgman, Milena S. Golshan, Jillian C. Wallis, Irene V. Pasquetto, Annamaria Carusi, Sharon Traweek, Marina Jirotka, Sharon Lloyd, Matteo Turilli and Nils Pharo. Their work appears in journals such as Journal of the Association for Information Science and Technology, International Journal on Digital Libraries, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Proceedings of the American Society for Information Science and Technology and Behavior Research Methods.

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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