Daniel Neider

1.5k citations
39 papers · 299 · h-index 9

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Model-Driven Software Engineering Techniques
    • Formal Methods in Verification

Papers in

Daniel Neider

37 papers receiving 288 citations

Peers

Daniel Neider
Comparison fields: 5 of 42
  • Software 117
  • Computational Theory and Mathematics 151
  • Artificial Intelligence 221
  • Hardware and Architecture 16
  • Information Systems 53
Replace Karl Palmskog with:
Karl Palmskog Sweden
Laurent Voisin France
Ingo Pill Austria
David Rydeheard United Kingdom
Wojciech Mostowski Netherlands
Farhad Mehta Switzerland
A. A. Letichevsky Ukraine
Anne Parrain France
Volker Stolz Norway
José Proença Belgium
Daniel Neider relative to Karl Palmskog Sweden Karl Palmskog's profile →
Citations per field
00.5×5.3×
Karl Palmskog · 1×
Citations per year

Countries citing papers authored by Daniel Neider

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201670
2 201845
3 202026
4 201623
5 202214
6 202111
7 201610
8 202210
9
Applications of automata learning in verification and synthesis
20149
10 20237
11 20227
12 20207
13 20186
14 20195
15 20195
16
ICE: A Robust Learning Framework for Synthesizing Invariants
20135
17 20144
18 20124
19 20233
20 20223

About Daniel Neider

Daniel Neider is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications and Information Systems, having authored 39 papers that have together received 299 indexed citations. Recurring topics across this work include Formal Methods in Verification (22 papers), Machine Learning and Algorithms (16 papers), Logic, programming, and type systems (11 papers), Software Testing and Debugging Techniques (6 papers), Logic, Reasoning, and Knowledge (6 papers), semigroups and automata theory (6 papers), Model-Driven Software Engineering Techniques (6 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Software (117 citations), Computational Theory and Mathematics (151 citations), Artificial Intelligence (221 citations), Hardware and Architecture (16 citations) and Information Systems (53 citations). Daniel Neider has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include P. Madhusudan, Pranav Garg, Dan Roth, Paulo Tabuada, Ufuk Topcu, Martín Zimmermann, Zhe Xu, Bo Wu, Kristian Kersting and Christof Löding. Their work appears in journals such as Formal Methods in System Design, ACM Transactions on Computational Logic, Chemie Ingenieur Technik, Logical Methods in Computer Science and ACM SIGPLAN Notices.

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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