Daniel Crawl

897 citations
43 papers · 512 indexed · h-index 12

Impact in

Papers in

Daniel Crawl

38 papers receiving 494 citations

Peers

Daniel Crawl
Comparison fields: 5 of 74
  • Information Systems and Management 293
  • Computer Networks and Communications 260
  • Information Systems 231
  • Global and Planetary Change 73
  • Ecological Modeling 14
Replace Kaijun Ren with:
Kaijun Ren China
Bartosz Baliś Poland
Richard Marciano United States
Arcot Rajasekar United States
Chaitanya Baru United States
Mathias Peters Germany
Markus Stocker Germany
Iván Rodero United States
Curt Tilmes United States
Peisheng Zhao United States
Daniel Crawl relative to Kaijun Ren China Kaijun Ren's profile →
Citations per field
00.5×4.4×
Kaijun Ren · 1×
Citations per year

Countries citing papers authored by Daniel Crawl

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Crawl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 200965
3 201560
4 201437
5 201533
6 201130
7 201426
8 201722
9 201719
10 201218
11 201216
12 202315
13 20169
14 20149
15 20139
16 20098
17 20177
18 20145
19 20195
20 20105

About Daniel Crawl

Daniel Crawl is a scholar working on Information Systems and Management, Computer Networks and Communications, Global and Planetary Change, Information Systems and Media Technology, having authored 43 papers that have together received 512 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (23 papers), Distributed and Parallel Computing Systems (15 papers), Fire effects on ecosystems (13 papers), Advanced Data Storage Technologies (7 papers), Remote-Sensing Image Classification (5 papers), Cloud Computing and Resource Management (5 papers), Research Data Management Practices (5 papers) and Remote Sensing and LiDAR Applications (4 papers). The work is most often cited by research in Information Systems and Management (293 citations), Computer Networks and Communications (260 citations), Information Systems (231 citations), Global and Planetary Change (73 citations) and Ecological Modeling (14 citations). Daniel Crawl has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include İlkay Altıntaş, Jianwu Wang, Mai Thanh Thi Nguyen, Jessica Block, Weizhong Li, Prakashan Korambath, Parviez R. Hosseini, Matthew B. Jones, Jim Davis and Mark Schildhauer. Their work appears in journals such as Computing in Science & Engineering, Journal of Computational Science, Ecological Informatics, Remote Sensing and Fundamenta Informaticae.

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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