Daniel Crawl

907 citations
51 papers · 705 · h-index 15

Impact in

Papers in

Daniel Crawl

44 papers receiving 676 citations

Peers

Daniel Crawl
Comparison fields: 5 of 76
  • Information Systems and Management 436
  • Computer Networks and Communications 377
  • Information Systems 329
  • Ecological Modeling 21
  • Global and Planetary Change 92
Replace Markus Stocker with:
Markus Stocker Germany
Arcot Rajasekar United States
Iván Rodero United States
Craig A. Stewart United States
Curt Tilmes United States
Feiyi Wang United States
Theodor Foerster Germany
Richard Marciano United States
Kaijun Ren China
Mathias Peters Germany
Daniel Crawl relative to Markus Stocker Germany Markus Stocker's profile →
Citations per field
00.5×
Markus Stocker · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2 200981
3 201578
4 200844
5 201441
6 201538
7 201136
8 201427
9 201725
10 201724
11 201022
12 201221
13 202319
14 201017
15 201217
16 200911
17 201311
18 20149
19 20169
20 20178

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 Management, Monitoring, Policy and Law, having authored 51 papers that have together received 705 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (28 papers), Distributed and Parallel Computing Systems (20 papers), Fire effects on ecosystems (16 papers), Advanced Data Storage Technologies (9 papers), Research Data Management Practices (8 papers), Landslides and related hazards (6 papers), Cloud Computing and Resource Management (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Information Systems and Management (436 citations), Computer Networks and Communications (377 citations), Information Systems (329 citations), Ecological Modeling (21 citations) and Global and Planetary Change (92 citations). Daniel Crawl has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include İlkay Altıntaş, Jianwu Wang, Mai Thanh Thi Nguyen, Jessica Block, Weizhong Li, Prakashan Korambath, Parviez R. Hosseini, Matthew B. Jones, Peter Cornillon and Raymond A. de Callafon. Their work appears in journals such as Computing in Science & Engineering, Remote Sensing, Journal of Computational Science, Ecological Informatics and Lecture notes in computer science.

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.

Explore authors with similar magnitude of impact