Manuel Lama

1.8k citations
84 papers · 982 · h-index 18

Impact in

Papers in

Manuel Lama

80 papers receiving 920 citations

Peers

Manuel Lama
Comparison fields: 5 of 81
  • Computer Science Applications 187
  • Management Information Systems 249
  • Information Systems 546
  • Artificial Intelligence 436
  • Computer Networks and Communications 232
Replace Marco Kuhrmann with:
Marco Kuhrmann Germany
Eric Knauss Sweden
Matthias Galster New Zealand
Harold Boley Canada
Anany Levitin United States
João M. Fernandes Portugal
Susan D. Urban United States
Raghvinder S. Sangwan United States
Irum Inayat Pakistan
Manuel Kolp Belgium
Manuel Lama relative to Marco Kuhrmann Germany Marco Kuhrmann's profile →
Citations per field
00.5×1.5×2.1×
Marco Kuhrmann · 1×
Citations per year

Countries citing papers authored by Manuel Lama

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Lama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Integrated Semantic Web Service Discovery and Composition Framework
2016102
2
A Learning Design Ontology based on the IMS Specification
200676
3 201170
4 199947
5 201447
6 201546
7 201033
8 201331
9 201326
10 200425
11 201224
12 201421
13
Semantic Linking of Learning Object Repositories to DBpedia.
201220
14
A Framework for Design and Composition of Semantic Web Services
200419
15 201419
16 201518
17 201417
18 201017
19 201616
20 202316

About Manuel Lama

Manuel Lama is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Computer Networks and Communications and Computer Science Applications, having authored 84 papers that have together received 982 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (39 papers), Service-Oriented Architecture and Web Services (35 papers), Business Process Modeling and Analysis (33 papers), Open Education and E-Learning (9 papers), Online Learning and Analytics (8 papers), Data Quality and Management (6 papers), E-Learning and Knowledge Management (6 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Computer Science Applications (187 citations), Management Information Systems (249 citations), Information Systems (546 citations), Artificial Intelligence (436 citations) and Computer Networks and Communications (232 citations). Manuel Lama has collaborated with scholars based in Spain, Brazil and Chile. Frequent co-authors include Manuel Mucientes, Pablo Rodríguez-Mier, Juan C. Vidal, Alberto Bugarín, Eduardo Sánchez, Xosé A. Vila, Carlos Pedrinaci, Senén Barro, Asuncíon Gómez-Pérez and Manuel Fernández-Delgado. Their work appears in journals such as Knowledge-Based Systems, Information Sciences, Expert Systems with Applications, IEEE Intelligent Systems and Educational Technology & Society.

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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