Markus Iseli

1.3k citations
61 papers · 897 · h-index 16

Impact in

Papers in

    • Speech Recognition and Synthesis 13
    • Natural Language Processing Techniques 8
    • Fusion materials and technologies 14
    • Graphite, nuclear technology, radiation studies 9
    • Nuclear Materials and Properties 8

Markus Iseli

54 papers receiving 807 citations

Peers

Markus Iseli
Comparison fields: 5 of 87
  • Experimental and Cognitive Psychology 363
  • Linguistics and Language 103
  • Signal Processing 156
  • Artificial Intelligence 437
  • Physiology 185
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Citations per field
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Citations per year

Countries citing papers authored by Markus Iseli

Since Specialization
Citations

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

Fields of papers citing papers by Markus Iseli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007166
2 201264
3 200463
4 201243
5 200542
6 200734
7 201633
8 198832
9 200931
10 201129
11 201829
12 200825
13 200622
14 200122
15 200117
16 200116
17
The Feasibility of Using Cluster Analysis to Examine Log Data from Educational Video Games. CRESST Report 790.
201115
18 200915
19 200814
20 201012

About Markus Iseli

Markus Iseli is a scholar working on Artificial Intelligence, Materials Chemistry, Experimental and Cognitive Psychology, Safety, Risk, Reliability and Quality and Aerospace Engineering, having authored 61 papers that have together received 897 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (14 papers), Fusion materials and technologies (14 papers), Nuclear and radioactivity studies (13 papers), Speech Recognition and Synthesis (13 papers), Nuclear reactor physics and engineering (9 papers), Graphite, nuclear technology, radiation studies (9 papers), Natural Language Processing Techniques (8 papers) and Nuclear Materials and Properties (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (363 citations), Linguistics and Language (103 citations), Signal Processing (156 citations), Artificial Intelligence (437 citations) and Physiology (185 citations). Markus Iseli has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Abeer Alwan, Yen-Liang Shue, A. Alwan, Neill Taylor, Pierre Cortes, S. Ciattaglia, Jody Kreiman, Xiaodong Cui, Juergen Neubauer and S. Rosanvallon. Their work appears in journals such as Fusion Engineering and Design, The Journal of the Acoustical Society of America, Fusion Science & Technology, Speech Communication and Scientific Reports.

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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