James Little

540 citations
20 papers · 333 · h-index 8

Impact in

Papers in

James Little

19 papers receiving 310 citations

Peers

James Little
Comparison fields: 5 of 79
  • Management Information Systems 47
  • Industrial and Manufacturing Engineering 48
  • Emergency Medical Services 28
  • Environmental Engineering 58
  • Software 14
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Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by James Little

Since Specialization
Citations

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

Fields of papers citing papers by James Little

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside James Little, 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 James Little Line = papers co-authored together James Little links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006143
2 200854
3 199530
4 199825
5 199722
6 201113
7 19989
8 20097
9 20087
10 20045
11 19994
12
From Finding Aids to Wiki Pages: Remixing Archival Metadata with RAMP
20133
13
Flexible Dynamic Scheduling: A Major Improvement for Public Transport
19963
14
NIMA's SRTM Data Processing Plans and Preliminary Data Assessments
20013
15 19971
16
The PDES Workbench
20061
17 19971
18 19931
19 20061
20 20010

About James Little

James Little is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Artificial Intelligence, Management Information Systems and Management Science and Operations Research, having authored 20 papers that have together received 333 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (6 papers), Scheduling and Optimization Algorithms (4 papers), Transportation and Mobility Innovations (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Data Management and Algorithms (2 papers), Manufacturing Process and Optimization (2 papers), Vehicle Routing Optimization Methods (2 papers) and Operations Management Techniques (2 papers). The work is most often cited by research in Management Information Systems (47 citations), Industrial and Manufacturing Engineering (48 citations), Emergency Medical Services (28 citations), Environmental Engineering (58 citations) and Software (14 citations). James Little has collaborated with scholars based in United Kingdom, Ireland and Italy. Frequent co-authors include Brian Coughlan, James A. Slater, Carolyn Johnston, K Darby-Dowman, Marco Zaffalon, Gautam Mitra, Andrew Rixon, David Meger, Bernt Schiele and Christian Wojek. Their work appears in journals such as Journal of the Operational Research Society, Health Care Management Science, Interacting with Computers, Constraints and Journal of Intelligent Manufacturing.

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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