I. John

424 citations
7 papers · 319 · h-index 7

Impact in

  • Software top 5%
    • Model-Driven Software Engineering Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Service-Oriented Architecture and Web Services

Papers in

    • Software Engineering Research 6
    • Software Engineering Techniques and Practices 3
    • Service-Oriented Architecture and Web Services 1
    • Advanced Software Engineering Methodologies 6

I. John

7 papers receiving 288 citations

Peers

I. John
Comparison fields: 5 of 40
  • Software 70
  • Information Systems 268
  • Computer Science Applications 54
  • Artificial Intelligence 186
  • Management Information Systems 36
Replace Teade Punter with:
Teade Punter Netherlands
Lars Bendix Sweden
Christiane Differding Germany
Patricia Oberndorf United States
Even-André Karlsson Sweden
Werner Heijstek Netherlands
Veli-Pekka Eloranta Finland
John Dean Canada
Terry Bollinger United States
Åsa G. Dahlstedt Sweden
I. John relative to Teade Punter Netherlands Teade Punter's profile →
Citations per field
00.5×1.5×2.1×
Teade Punter · 1×
Citations per year

Countries citing papers authored by I. John

Since Specialization
Citations

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

Fields of papers citing papers by I. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside I. John, 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 I. John Line = papers co-authored together I. John links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2003132
2 200385
3 200645
4 200620
5 200614
6 200213
7 200210

About I. John

I. John is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Management Information Systems and Information Systems and Management, having authored 7 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (6 papers), Software Engineering Research (6 papers), Software Engineering Techniques and Practices (3 papers), Software System Performance and Reliability (1 paper), Business Process Modeling and Analysis (1 paper), Model-Driven Software Engineering Techniques (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Software (70 citations), Information Systems (268 citations), Computer Science Applications (54 citations), Artificial Intelligence (186 citations) and Management Information Systems (36 citations). I. John has collaborated with scholars based in Germany, Switzerland and Finland. Frequent co-authors include Teade Punter, Bernd Freimut, Marcus Ciolkowski, Klaus Schmid, Dirk Muthig, Jens Knodel, Andreas Birk, Klaus Müller, G. S. Heller and Dharmalingam Ganesan. Their work appears in journals such as IEEE Software and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

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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