Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Telecommunications and Organizational Decentralization
Citations per year, relative to Jack M. Nilles Jack M. Nilles (= 1×)
peers
Lina Zhong
Countries citing papers authored by Jack M. Nilles
Since
Specialization
Citations
This map shows the geographic impact of Jack M. Nilles'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 Jack M. Nilles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack M. Nilles more than expected).
This network shows the impact of papers produced by Jack M. Nilles. 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 Jack M. Nilles. The network helps show where Jack M. Nilles may publish in the future.
Co-authorship network of co-authors of Jack M. Nilles
This figure shows the co-authorship network connecting the top 25 collaborators of Jack M. Nilles.
A scholar is included among the top collaborators of Jack M. Nilles based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Jack M. Nilles. Jack M. Nilles is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Nilles, Jack M.. (2013). Global Trends 2030. World Futures Review. 5(4). 383–384.1 indexed citations
2.
Nilles, Jack M.. (2007). Some Historical Thoughts on the ee-Learning Renaissance. NSUWorks (Nova Southeastern University). 3(6). 2.4 indexed citations
3.
Nilles, Jack M., et al.. (2007). TELEWORKING IN SILICON VALLEY: IMPLICATIONS FOR SOCIAL CAPITAL.
4.
Nilles, Jack M.. (1996). WHAT DOES TELEWORK REALLY DO TO US. World Transport Policy and Practice.17 indexed citations
Nilles, Jack M.. (1994). Making Telecommuting Happen: A Guide for Telemanagers and Telecommuters.104 indexed citations
7.
Kitamura, Ryuichi, et al.. (1990). TELECOMMUTING AS A TRANSPORTATION PLANNING MEASURE: INITIAL RESULTS OF CALIFORNIA PILOT PROJECT. Transportation Research Record Journal of the Transportation Research Board.21 indexed citations
8.
Kitamura, Ryuichi, et al.. (1990). Telecommuting as a Transportation Planning Meaure: Initial Results of California Pilot Project. eScholarship (California Digital Library).37 indexed citations
9.
Nilles, Jack M.. (1982). Telecommuting: The Wired Worker.. 57(3). 47–49.2 indexed citations
10.
Nilles, Jack M.. (1982). Exploring the world of the personal computer. Andalas University Repository (Andalas University).6 indexed citations
Washom, B., et al.. (1977). Incentives for the commercialization of Ocean Thermal Energy Conversion technology (OTEC). STIN. 77. 33665.1 indexed citations
13.
Nilles, Jack M.. (1976). TALK IS CHEAPER. IEEE Spectrum. 13(7).2 indexed citations
Nilles, Jack M. & Paul Gray. (1975). TELECOMMUTING - A POSSIBLE TRANSPORT SUBSTITUTE. Logistics and transportation review. 11(2).8 indexed citations
19.
Nilles, Jack M., et al.. (1974). TELECOMMUNICATIONS-TRANSPORTATION TRADEOFFS. Final Report.11 indexed citations
20.
Nilles, Jack M.. (1974). Development of Policy on the Telecommunications-Transportation Tradeoff, Final Report..4 indexed citations
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.