Steve Reece

21 papers receiving 208 citations

Peers

Steve Reece
Comparison fields: 5 of 76
  • Human-Computer Interaction 35
  • Anthropology 51
  • Archeology 32
  • Computer Science Applications 17
  • Religious studies 15
Replace Kim H. Veltman with:
Kim H. Veltman Netherlands
Minica Houry-Panchetti Italy
Giusy Fiucci Italy
Costis Dallas Canada
Federico Casalegno United States
Ian Muehlenhaus United States
Melissa Cefkin United States
Laurent Karsenty France
John Wyver United Kingdom
Beth Coleman Canada
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Citations per year

Countries citing papers authored by Steve Reece

Since Specialization
Citations

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

Fields of papers citing papers by Steve Reece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201556
2 199336
3 201329
4 201523
5 201519
6 200817
7 199417
8 201313
9
Homer’s Asphodel Meadow
20107
10 20116
11 20096
12
The three circuits of the suitors : a ring composition in Odyssey 17-22
20184
13 20163
14 20173
15 20093
16
The Myth of Milman Parry: Ajax or Elpenor?
20192
17 20222
18 20022
19
AgentSwitch: towards smart electricity tariff selection
20132
20 20251

About Steve Reece

Steve Reece is a scholar working on Anthropology, Archeology, Religious studies, Sociology and Political Science and Language and Linguistics, having authored 27 papers that have together received 255 indexed citations. Recurring topics across this work include Classical Antiquity Studies (7 papers), Biblical Studies and Interpretation (6 papers), Archaeology and Historical Studies (5 papers), Historical and Linguistic Studies (4 papers), Linguistics and language evolution (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Smart Grid Energy Management (3 papers) and Historical, Religious, and Philosophical Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (35 citations), Anthropology (51 citations), Archeology (32 citations), Computer Science Applications (17 citations) and Religious studies (15 citations). Steve Reece has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Tom Rodden, Sarvapali D. Ramchurn, Nicholas R. Jennings, Joel E. Fischer, Stephen Roberts, Feng Wu, Chris Greenhalgh, David Jones, Stuart Reeves and Muddasser Alam. Their work appears in journals such as The American Journal of Philology, Zeitschrift für die neutestamentliche Wissenschaft, Autonomous Agents and Multi-Agent Systems, College literature and New Testament Studies.

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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