Daniel Gomes

657 citations
38 papers · 458 · h-index 12

Impact in

Papers in

    • Digital and Traditional Archives Management 20
    • Web Data Mining and Analysis 18
    • Information Retrieval and Search Behavior 7
    • Web visibility and informetrics 5
    • Web Applications and Data Management 3
    • Mobile and Web Applications 1

Daniel Gomes

35 papers receiving 374 citations

Peers

Daniel Gomes
Comparison fields: 5 of 39
  • Conservation 219
  • Human Factors and Ergonomics 58
  • Information Systems 208
  • General Social Sciences 5
  • Artificial Intelligence 41
Replace Murtha Baca with:
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Vishwa Vinay United Kingdom
Linguistic Computing
Emma McCulloch United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daniel Gomes, 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 Gomes Line = papers co-authored together Daniel Gomes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201172
2 201055
3 201652
4 200539
5 200621
6
Introducing the Portuguese web archive initiative
200820
7 200619
8 201319
9 201319
10 201415
11 200113
12 201913
13 201311
14 201911
15
Versus: A Web Repository
200210
16
A Characterization of the Portuguese Web
20038
17 20198
18 20097
19 20216
20 20074

About Daniel Gomes

Daniel Gomes is a scholar working on Conservation, Information Systems, Computer Networks and Communications, Human Factors and Ergonomics and Software, having authored 38 papers that have together received 458 indexed citations. Recurring topics across this work include Digital and Traditional Archives Management (20 papers), Web Data Mining and Analysis (18 papers), Information Retrieval and Search Behavior (7 papers), Web visibility and informetrics (5 papers), Web Applications and Data Management (3 papers), Advanced Data Storage Technologies (2 papers), Mobile and Web Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Conservation (219 citations), Human Factors and Ergonomics (58 citations), Information Systems (208 citations), General Social Sciences (5 citations) and Artificial Intelligence (41 citations). Daniel Gomes has collaborated with scholars based in Portugal, United Kingdom and Belgium. Frequent co-authors include Mário J. Silva, Miguel Angelo Costa, Luís M. Carriço, Francisco M. Couto, Jose Luis Borbinha, Helen Hockx‐Yu, Michele C. Weigle, Michael L. Nelson, Julien Masanés and Filipe Moutinho. Their work appears in journals such as Software Practice and Experience, ACM Transactions on Internet Technology, International Journal on Digital Libraries, Lecture notes in computer science and International Journal of Humanities and Arts Computing.

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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