Citations per year, relative to Robert Lehmann Robert Lehmann (= 1×)
peers
Tomasz Michalski
Countries citing papers authored by Robert Lehmann
Since
Specialization
Citations
This map shows the geographic impact of Robert Lehmann'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 Robert Lehmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lehmann more than expected).
This network shows the impact of papers produced by Robert Lehmann. 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 Robert Lehmann. The network helps show where Robert Lehmann may publish in the future.
Co-authorship network of co-authors of Robert Lehmann
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lehmann.
A scholar is included among the top collaborators of Robert Lehmann 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 Robert Lehmann. Robert Lehmann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wollmershäuser, Timo, et al.. (2020). ifo Konjunkturprognose Sommer 2020: Deutsche Wirtschaft – es geht wieder aufwärts. Ifo-Schnelldienst. 73(1). 3–58.2 indexed citations
7.
Lautenbacher, Stefan, et al.. (2020). ifo Konjunkturprognose Winter 2020: Das Coronavirus schlägt zurück – erneuter Shutdown bremst Konjunktur ein zweites Mal aus. Ifo-Schnelldienst. 73. 3–61.2 indexed citations
8.
Lehmann, Robert, et al.. (2020). ifoCAST: Der neue Prognosestandard des ifo Instituts. Ifo-Schnelldienst. 73(11). 31–39.1 indexed citations
9.
Lehmann, Robert, et al.. (2019). Mit den ifo-Umfragen regionale Konjunktur verstehen. Econstor (Econstor). 72(9). 45–49.1 indexed citations
10.
Berlemann, Michael, et al.. (2018). Auswege aus dem Dilemma der empirischen Mittelstandsforschung. Econstor (Econstor). 71(23). 22–28.3 indexed citations
11.
Lehmann, Robert & Klaus Wohlrabe. (2017). An Elo Ranking for Economic Journals. Economics bulletin. 37(4). 2282–2291.1 indexed citations
12.
Lehmann, Robert, et al.. (2015). Mindestlohn in Ostdeutschland: Firmen planen Preiserhöhungen und Personalabbau. Econstor (Econstor). 22(1). 40–42.1 indexed citations
13.
Lehmann, Robert & Klaus Wohlrabe. (2013). Sektorale Prognosen und deren Machbarkeit auf regionaler Ebene - Das Beispiel Sachsen. Econstor (Econstor). 20(4). 22–29.1 indexed citations
14.
Lehmann, Robert, et al.. (2013). Konvergenz neu beurteilt – Welche Auswirkungen hat die neue Wirtschaftszweigklassifikation WZ 2008?. Econstor (Econstor). 20(2). 19–28.1 indexed citations
Lehmann, Robert, et al.. (2012). Marshall or Jacobs? Answers to an unsuitable question from an interaction model. Econstor (Econstor).1 indexed citations
17.
Lehmann, Robert, et al.. (2012). Spezialisierung oder Diversifikation - was trägt stärker zum sektoralen Wachstum bei?. Econstor (Econstor). 19(2). 19–25.
18.
Lehmann, Robert & Klaus Wohlrabe. (2012). Die Prognose des Bruttoinlandsprodukts auf regionaler Ebene. Econstor (Econstor). 65(21). 17–23.1 indexed citations
19.
Lehmann, Robert, et al.. (2010). Funktioniert der ifo Konjunkturtest auch in wirtschaftlichen Krisenzeiten?: eine Analyse der Zusammenhänge zwischen ifo Geschäftsklima und amtlichen Konjunkturdaten für Sachsen. Econstor (Econstor). 17(3). 8–14.4 indexed citations
20.
Lehmann, Robert. (2009). Die Strukturen der Ausfuhr in Deutschland : ein Vergleich zwischen neuen und alten Bundesländern. Econstor (Econstor). 16(5). 45–50.2 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.