Simon Lambert

35 papers receiving 264 citations

Peers

Simon Lambert
Comparison fields: 5 of 79
  • Information Systems and Management 119
  • Conservation 34
  • Management Science and Operations Research 91
  • Information Systems 143
  • Statistics, Probability and Uncertainty 42
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Richard D Jones Norway
Elizabeth Gadd United Kingdom
Danny Kingsley Australia
Simon Kerridge United Kingdom
Alireza Isfandyari‐Moghaddam Iran
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Citations per field
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Citations per year

Countries citing papers authored by Simon Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Simon Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simon Lambert, 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 Simon Lambert Line = papers co-authored together Simon Lambert 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
An introduction to STINMOD: a static microsimulation model
199476
2 201432
3
Open Access Publishing - Models and Attributes
201025
4 202123
5 201218
6
From Welfare to Work: Improving the Interface of Tax and Social Security
199915
7 200914
8 201113
9 201311
10 201111
11 201210
12 20119
13
Significant Properties, Authenticity, Provenance, Representation Information and OAIS Information
20098
14 20008
15 20077
16
First results of the SOAP Project
20106
17 20125
18 20184
19
Expressive power and computability
19883
20 20153

About Simon Lambert

Simon Lambert is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Computer Networks and Communications and Management Information Systems, having authored 43 papers that have together received 324 indexed citations. Recurring topics across this work include Research Data Management Practices (16 papers), Scientific Computing and Data Management (10 papers), Data Quality and Management (8 papers), Gender, Labor, and Family Dynamics (4 papers), 3D Surveying and Cultural Heritage (3 papers), Digital and Traditional Archives Management (3 papers), Distributed and Parallel Computing Systems (3 papers) and Green IT and Sustainability (2 papers). The work is most often cited by research in Information Systems and Management (119 citations), Conservation (34 citations), Management Science and Operations Research (91 citations), Information Systems (143 citations) and Statistics, Probability and Uncertainty (42 citations). Simon Lambert has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Richard Percival, Deborah Schofield, Brian W. Matthews, Robert Darby, Sünje Dallmeier-Tiessen, S. Mele, Michael Keating, Michael Wilson, David Giaretta and Catherine Jones. Their work appears in journals such as New Review of Information Networking, Data Science Journal, Patterns, Studies in Conservation and Control Engineering Practice.

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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